// Workflow automation is the infrastructure that makes AI agents reliable. Without durable execution, a network hiccup during a 10-step payment flow means lost money and angry customers. With it, workflows resume exactly where they left off.
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| name | workflow-automation |
| description | Workflow automation is the infrastructure that makes AI agents reliable. Without durable execution, a network hiccup during a 10-step payment flow means lost money and angry customers. With it, workflows resume exactly where they left off. |
| risk | critical |
| source | vibeship-spawner-skills (Apache 2.0) |
| date_added | "2026-02-27T00:00:00.000Z" |
Workflow automation is the infrastructure that makes AI agents reliable. Without durable execution, a network hiccup during a 10-step payment flow means lost money and angry customers. With it, workflows resume exactly where they left off.
This skill covers the platforms (n8n, Temporal, Inngest) and patterns (sequential, parallel, orchestrator-worker) that turn brittle scripts into production-grade automation.
Key insight: The platforms make different tradeoffs. n8n optimizes for accessibility, Temporal for correctness, Inngest for developer experience. Pick based on your actual needs, not hype.
Steps execute in order, each output becomes next input
When to use: Content pipelines, data processing, ordered operations
""" Step 1 → Step 2 → Step 3 → Output ↓ ↓ ↓ (checkpoint at each step) """
""" import { inngest } from "./client";
export const processOrder = inngest.createFunction( { id: "process-order" }, { event: "order/created" }, async ({ event, step }) => { // Step 1: Validate order const validated = await step.run("validate-order", async () => { return validateOrder(event.data.order); });
// Step 2: Process payment (durable - survives crashes)
const payment = await step.run("process-payment", async () => {
return chargeCard(validated.paymentMethod, validated.total);
});
// Step 3: Create shipment
const shipment = await step.run("create-shipment", async () => {
return createShipment(validated.items, validated.address);
});
// Step 4: Send confirmation
await step.run("send-confirmation", async () => {
return sendEmail(validated.email, { payment, shipment });
});
return { success: true, orderId: event.data.orderId };
} ); """
""" import { proxyActivities } from '@temporalio/workflow'; import type * as activities from './activities';
const { validateOrder, chargeCard, createShipment, sendEmail } = proxyActivities({ startToCloseTimeout: '30 seconds', retry: { maximumAttempts: 3, backoffCoefficient: 2, } });
export async function processOrderWorkflow(order: Order): Promise { const validated = await validateOrder(order); const payment = await chargeCard(validated.paymentMethod, validated.total); const shipment = await createShipment(validated.items, validated.address); await sendEmail(validated.email, { payment, shipment }); } """
""" [Webhook: order.created] ↓ [HTTP Request: Validate Order] ↓ [HTTP Request: Process Payment] ↓ [HTTP Request: Create Shipment] ↓ [Send Email: Confirmation]
Configure each node with retry on failure. Use Error Trigger for dead letter handling. """
Independent steps run simultaneously, aggregate results
When to use: Multiple independent analyses, data from multiple sources
""" ┌→ Step A ─┐ Input ──┼→ Step B ─┼→ Aggregate → Output └→ Step C ─┘ """
""" export const analyzeDocument = inngest.createFunction( { id: "analyze-document" }, { event: "document/uploaded" }, async ({ event, step }) => { // Run analyses in parallel const [security, performance, compliance] = await Promise.all([ step.run("security-analysis", () => analyzeForSecurityIssues(event.data.document) ), step.run("performance-analysis", () => analyzeForPerformance(event.data.document) ), step.run("compliance-analysis", () => analyzeForCompliance(event.data.document) ), ]);
// Aggregate results
const report = await step.run("generate-report", () =>
generateReport({ security, performance, compliance })
);
return report;
} ); """
""" { "Type": "Parallel", "Branches": [ { "StartAt": "SecurityAnalysis", "States": { "SecurityAnalysis": { "Type": "Task", "Resource": "arn:aws:lambda:...:security-analyzer", "End": true } } }, { "StartAt": "PerformanceAnalysis", "States": { "PerformanceAnalysis": { "Type": "Task", "Resource": "arn:aws:lambda:...:performance-analyzer", "End": true } } } ], "Next": "AggregateResults" } """
Central coordinator dispatches work to specialized workers
When to use: Complex tasks requiring different expertise, dynamic subtask creation
""" ┌─────────────────────────────────────┐ │ ORCHESTRATOR │ │ - Analyzes task │ │ - Creates subtasks │ │ - Dispatches to workers │ │ - Aggregates results │ └─────────────────────────────────────┘ │ ┌───────────┼───────────┐ ▼ ▼ ▼ ┌───────┐ ┌───────┐ ┌───────┐ │Worker1│ │Worker2│ │Worker3│ │Create │ │Modify │ │Delete │ └───────┘ └───────┘ └───────┘ """
""" export async function orchestratorWorkflow(task: ComplexTask) { // Orchestrator decides what work needs to be done const plan = await analyzeTask(task);
// Dispatch to specialized worker workflows const results = await Promise.all( plan.subtasks.map(subtask => { switch (subtask.type) { case 'create': return executeChild(createWorkerWorkflow, { args: [subtask] }); case 'modify': return executeChild(modifyWorkerWorkflow, { args: [subtask] }); case 'delete': return executeChild(deleteWorkerWorkflow, { args: [subtask] }); } }) );
// Aggregate results return aggregateResults(results); } """
""" export const aiOrchestrator = inngest.createFunction( { id: "ai-orchestrator" }, { event: "task/complex" }, async ({ event, step }) => { // AI decides what needs to be done const plan = await step.run("create-plan", async () => { return await llm.chat({ messages: [ { role: "system", content: "Break this task into subtasks..." }, { role: "user", content: event.data.task } ] }); });
// Execute each subtask as a durable step
const results = [];
for (const subtask of plan.subtasks) {
const result = await step.run(`execute-${subtask.id}`, async () => {
return executeSubtask(subtask);
});
results.push(result);
}
// Final synthesis
return await step.run("synthesize", async () => {
return synthesizeResults(results);
});
} ); """
Workflows triggered by events, not schedules
When to use: Reactive systems, user actions, webhook integrations
""" // Define events with TypeScript types type Events = { "user/signed.up": { data: { userId: string; email: string }; }; "order/completed": { data: { orderId: string; total: number }; }; };
// Function triggered by event export const onboardUser = inngest.createFunction( { id: "onboard-user" }, { event: "user/signed.up" }, // Trigger on this event async ({ event, step }) => { // Wait 1 hour, then send welcome email await step.sleep("wait-for-exploration", "1 hour");
await step.run("send-welcome", async () => {
return sendWelcomeEmail(event.data.email);
});
// Wait 3 days for engagement check
await step.sleep("wait-for-engagement", "3 days");
const engaged = await step.run("check-engagement", async () => {
return checkUserEngagement(event.data.userId);
});
if (!engaged) {
await step.run("send-nudge", async () => {
return sendNudgeEmail(event.data.email);
});
}
} );
// Send events from anywhere await inngest.send({ name: "user/signed.up", data: { userId: "123", email: "user@example.com" } }); """
""" [Webhook: POST /api/webhooks/order] ↓ [Switch: event.type] ↓ order.created [Process New Order Subworkflow] ↓ order.cancelled [Handle Cancellation Subworkflow] """
Automatic retry with backoff, dead letter handling
When to use: Any workflow with external dependencies
""" const activities = proxyActivities({ startToCloseTimeout: '30 seconds', retry: { initialInterval: '1 second', backoffCoefficient: 2, maximumInterval: '1 minute', maximumAttempts: 5, nonRetryableErrorTypes: [ 'ValidationError', // Don't retry validation failures 'InsufficientFunds', // Don't retry payment failures ] } }); """
""" export const processPayment = inngest.createFunction( { id: "process-payment", retries: 5, // Retry up to 5 times }, { event: "payment/initiated" }, async ({ event, step, attempt }) => { // attempt is 0-indexed retry count
const result = await step.run("charge-card", async () => {
try {
return await stripe.charges.create({...});
} catch (error) {
if (error.code === 'card_declined') {
// Don't retry card declines
throw new NonRetriableError("Card declined");
}
throw error; // Retry other errors
}
});
return result;
} ); """
""" // n8n: Use Error Trigger node [Error Trigger] ↓ [Log to Error Database] ↓ [Send Alert to Slack] ↓ [Create Ticket in Jira]
// Inngest: Handle in onFailure
export const myFunction = inngest.createFunction(
{
id: "my-function",
onFailure: async ({ error, event, step }) => {
await step.run("alert-team", async () => {
await slack.postMessage({
channel: "#errors",
text: Function failed: ${error.message}
});
});
}
},
{ event: "..." },
async ({ step }) => { ... }
);
"""
Time-based triggers for recurring tasks
When to use: Daily reports, periodic sync, batch processing
""" export const dailyReport = inngest.createFunction( { id: "daily-report" }, { cron: "0 9 * * *" }, // Every day at 9 AM async ({ step }) => { const data = await step.run("gather-metrics", async () => { return gatherDailyMetrics(); });
await step.run("generate-report", async () => {
return generateAndSendReport(data);
});
} );
export const syncInventory = inngest.createFunction( { id: "sync-inventory" }, { cron: "*/15 * * * *" }, // Every 15 minutes async ({ step }) => { await step.run("sync", async () => { return syncWithSupplier(); }); } ); """
""" // Schedule workflow to run on cron const handle = await client.workflow.start(dailyReportWorkflow, { taskQueue: 'reports', workflowId: 'daily-report', cronSchedule: '0 9 * * *', // 9 AM daily }); """
""" [Schedule Trigger: Every day at 9:00 AM] ↓ [HTTP Request: Get Metrics] ↓ [Code Node: Generate Report] ↓ [Send Email: Report] """
Severity: CRITICAL
Situation: Writing workflow steps that modify external state
Symptoms: Customer charged twice. Email sent three times. Database record created multiple times. Workflow retries cause duplicate side effects.
Why this breaks: Durable execution replays workflows from the beginning on restart. If step 3 crashes and the workflow resumes, steps 1 and 2 run again. Without idempotency keys, external services don't know these are retries.
Recommended fix:
await stripe.paymentIntents.create({
amount: 1000,
currency: 'usd',
idempotency_key: order-${orderId}-payment # Critical!
});
await step.run("send-confirmation", async () => { const alreadySent = await checkEmailSent(orderId); if (alreadySent) return { skipped: true }; return sendEmail(customer, orderId); });
await db.query( INSERT INTO orders (id, ...) VALUES ($1, ...) ON CONFLICT (id) DO NOTHING, [orderId]);
Severity: HIGH
Situation: Long-running workflows with infrequent steps
Symptoms: Memory consumption grows. Worker timeouts. Lost progress after crashes. "Workflow exceeded maximum duration" errors.
Why this breaks: Workflows hold state in memory until checkpointed. A workflow that runs for 24 hours with one step per hour accumulates state for 24h. Workers have memory limits. Functions have execution time limits.
Recommended fix:
await step.run("process-all", async () => { for (const item of thousandItems) { await processItem(item); // Hours of work, one checkpoint } });
for (const item of thousandItems) {
await step.run(process-${item.id}, async () => {
return processItem(item); // Checkpoint after each
});
}
await step.sleep("wait-for-trial", "14 days"); // Doesn't consume resources while waiting
await step.invoke("process-batch", { function: batchProcessor, data: { items: batch } });
Severity: HIGH
Situation: Calling external services from workflow activities
Symptoms: Workflows hang indefinitely. Worker pool exhausted. Dead workflows that never complete or fail. Manual intervention needed to kill stuck workflows.
Why this breaks: External APIs can hang forever. Without timeout, your workflow waits forever. Unlike HTTP clients, workflow activities don't have default timeouts in most platforms.
Recommended fix:
const activities = proxyActivities({ startToCloseTimeout: '30 seconds', # Required! scheduleToCloseTimeout: '5 minutes', heartbeatTimeout: '10 seconds', # For long activities retry: { maximumAttempts: 3, initialInterval: '1 second', } });
await step.run("call-api", { timeout: "30s" }, async () => { return fetch(url, { signal: AbortSignal.timeout(25000) }); });
{ "Type": "Task", "TimeoutSeconds": 30, "HeartbeatSeconds": 10, "Resource": "arn:aws:lambda:..." }
Severity: CRITICAL
Situation: Writing code that runs during workflow replay
Symptoms: Random failures on replay. "Workflow corrupted" errors. Different behavior on replay than initial run. Non-determinism errors.
Why this breaks: Workflow code runs on EVERY replay. If you generate a random ID in workflow code, you get a different ID each replay. If you read the current time, you get a different time. This breaks determinism.
Recommended fix:
export async function orderWorkflow(order) { const orderId = uuid(); // Different every replay! const now = new Date(); // Different every replay! await activities.process(orderId, now); }
export async function orderWorkflow(order) { const orderId = await activities.generateOrderId(); # Recorded const now = await activities.getCurrentTime(); # Recorded await activities.process(orderId, now); }
import { sideEffect } from '@temporalio/workflow';
const orderId = await sideEffect(() => uuid()); const now = workflow.now(); # Deterministic replay-safe time
Severity: MEDIUM
Situation: Configuring retry behavior for failing steps
Symptoms: Overwhelming failing services. Rate limiting. Cascading failures. Retry storms causing outages. Being blocked by external APIs.
Why this breaks: When a service is struggling, immediate retries make it worse. 100 workflows retrying instantly = 100 requests hitting a service that's already failing. Backoff gives the service time to recover.
Recommended fix:
const activities = proxyActivities({ retry: { initialInterval: '1 second', backoffCoefficient: 2, # 1s, 2s, 4s, 8s, 16s... maximumInterval: '1 minute', # Cap the backoff maximumAttempts: 5, } });
{ id: "my-function", retries: 5, # Uses exponential backoff by default }
const backoff = (attempt) => { const base = 1000; const max = 60000; const delay = Math.min(base * Math.pow(2, attempt), max); const jitter = delay * 0.1 * Math.random(); return delay + jitter; };
Severity: HIGH
Situation: Passing large payloads between workflow steps
Symptoms: Slow workflow execution. Memory errors. "Payload too large" errors. Expensive storage costs. Slow replays.
Why this breaks: Workflow state is persisted and replayed. A 10MB payload is stored, serialized, and deserialized on every step. This adds latency and cost. Some platforms have hard limits (e.g., Step Functions 256KB).
Recommended fix:
await step.run("fetch-data", async () => { const largeDataset = await fetchAllRecords(); // 100MB! return largeDataset; // Stored in workflow state });
await step.run("fetch-data", async () => { const largeDataset = await fetchAllRecords(); const s3Key = await uploadToS3(largeDataset); return { s3Key }; // Just the reference });
const processed = await step.run("process-data", async () => { const data = await downloadFromS3(fetchResult.s3Key); return processData(data); });
{ "Type": "Task", "Resource": "arn:aws:states:::s3:putObject", "Parameters": { "Bucket": "my-bucket", "Key.$": "$.outputKey", "Body.$": "$.largeData" } }
Severity: HIGH
Situation: Workflows that exhaust all retries
Symptoms: Failed workflows silently disappear. No alerts when things break. Customer issues discovered days later. Manual recovery impossible.
Why this breaks: Even with retries, some workflows will fail permanently. Without dead letter handling, you don't know they failed. The customer waits forever, you're unaware, and there's no data to debug.
Recommended fix:
export const myFunction = inngest.createFunction( { id: "process-order", onFailure: async ({ error, event, step }) => { // Log to error tracking await step.run("log-error", () => sentry.captureException(error, { extra: { event } }) );
// Alert team
await step.run("alert", () =>
slack.postMessage({
channel: "#alerts",
text: `Order ${event.data.orderId} failed: ${error.message}`
})
);
// Queue for manual review
await step.run("queue-review", () =>
db.insert(failedOrders, { orderId, error, event })
);
}
}, { event: "order/created" }, async ({ event, step }) => { ... } );
[Error Trigger] → [Log to DB] → [Slack Alert] → [Create Ticket]
Severity: MEDIUM
Situation: Building production n8n workflows
Symptoms: Workflow fails silently. Errors only visible in execution logs. No alerts, no recovery, no visibility until someone notices.
Why this breaks: n8n doesn't notify on failure by default. Without an Error Trigger node connected to alerting, failures are only visible in the UI. Production failures go unnoticed.
Recommended fix:
Error Trigger node
Connected error handling: [Error Trigger] ↓ [Set: Extract Error Details] ↓ [HTTP: Log to Error Service] ↓ [Slack/Email: Alert Team]
Consider dead letter pattern: [Error Trigger] ↓ [Redis/Postgres: Store Failed Job] ↓ [Separate Recovery Workflow]
Severity: MEDIUM
Situation: Activities that run for more than a few seconds
Symptoms: Activity timeouts even when work is progressing. Lost work when workers restart. Can't cancel long-running activities.
Why this breaks: Temporal detects stuck activities via heartbeat. Without heartbeat, Temporal can't tell if activity is working or stuck. Long activities appear hung, may timeout, and can't be gracefully cancelled.
Recommended fix:
import { heartbeat, activityInfo } from '@temporalio/activity';
export async function processLargeFile(fileUrl: string): Promise { const chunks = await downloadChunks(fileUrl);
for (let i = 0; i < chunks.length; i++) { // Check for cancellation const { cancelled } = activityInfo(); if (cancelled) { throw new CancelledFailure('Activity cancelled'); }
await processChunk(chunks[i]);
// Report progress
heartbeat({ progress: (i + 1) / chunks.length });
} }
const activities = proxyActivities({ startToCloseTimeout: '10 minutes', heartbeatTimeout: '30 seconds', # Must heartbeat every 30s });
Severity: ERROR
Stripe/payment calls should use idempotency keys
Message: Payment call without idempotency_key. Add idempotency key to prevent duplicate charges on retry.
Severity: WARNING
Email sends in workflows should check for already-sent
Message: Email sent in workflow without deduplication check. Retries may send duplicate emails.
Severity: ERROR
All Temporal activities need timeout configuration
Message: proxyActivities without timeout. Add startToCloseTimeout to prevent indefinite hangs.
Severity: WARNING
External API calls should have timeouts
Message: External API call in step without timeout. Add timeout to prevent workflow hangs.
Severity: ERROR
Random values break determinism on replay
Message: Random value in workflow code. Move to activity/step or use sideEffect.
Severity: ERROR
Current time breaks determinism on replay
Message: Current time in workflow code. Use workflow.now() or move to activity/step.
Severity: WARNING
Production functions should have failure handlers
Message: Inngest function without onFailure handler. Add failure handling for production reliability.
Severity: WARNING
Steps should handle errors gracefully
Message: Step without try/catch. Consider handling specific error cases.
Severity: INFO
Large data in workflow state slows execution
Message: Returning potentially large data from step. Consider storing in S3/DB and returning reference.
Severity: WARNING
Retries should use exponential backoff
Message: Retry configured without backoff. Add backoffCoefficient and initialInterval.
Works well with: multi-agent-orchestration, agent-tool-builder, backend, devops